Analyzing Relationships in Terrorism Big Data Using Hadoop and Statistics

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" We conducted this study primarily because such a study was recommended by several well-known big data analytics researchers who asserted that there were too few practical worked-out examples in the literature [1–3]. More so, Kauffman, Srivastava and Vayghan [31] had found that data analytics techniques did not work well with large amounts of data. We specifically addressed that gap in the literature with our study by using a large big data set over 64 MB in size with over 125,117 records showing how to collect, code, and analyze terrorism big data. We used Hadoop big data analytics software through Google to collect and search through the terrorism big data and then we used a well-known statistical program—SPSS—to analyze hidden relationships in the nominal coded factors." (p. 8)

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